Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Chih Chi Hu

dblp:194/2334 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 77% Ubiquitous computing and smart environments · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
touch interaction
0.312017
SurfaceVibe: vibration-based tap & swipe tracking on ubiquitous surfaces · IPSN 2017
Ubiquitous computing and smart environments
interactive surfaces
0.112017
SurfaceVibe: vibration-based tap & swipe tracking on ubiquitous surfaces · IPSN 2017

Methods — techniques the papers use, named apart from their topics

vibration sensing · 0.3signal processing · 0.3
YearPublicationVenuePosition
2018 Online Incremental Learning for Speaker-Adaptive Language Models
Chih Chi Hu, Bing Liu 0024, John Shen, Ian Lane
INTERSPEECH1
2017 SurfaceVibe: vibration-based tap & swipe tracking on ubiquitous surfaces
abstract
Touch surfaces are intuitive interfaces for computing devices. Most of the traditional touch interfaces (vision, IR, capacitive, etc.) have mounting requirements, resulting in specialized touch surfaces limited by their size, cost, and mobility. More recent work has shown that vibration-based touch sensing techniques can localize taps/knocks, which provides a low-cost flexible alternative. These surfaces are envisioned as intuitive inputs for applications such as interactive meeting tables, smart kitchen appliance control, etc. However, due to dispersive and reflective properties of various vibrating mediums, it is difficult to localize taps accurately on ubiquitous surfaces. Furthermore, no work has been done on tracking continuous swipe interactions through vibration sensing.
Shijia Pan, Ceferino Gabriel Ramirez, Mostafa Mirshekari, Jonathon Fagert, Albert Jin Chung, Chih Chi Hu, John Paul Shen, Hae Young Noh, Pei Zhang 0001
IPSN6